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All Technical Committee Conferences (Searched in: All Years)
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Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NLC |
2021-02-18 16:05 |
Online |
Online |
Sarcasm Detection with Japanese Wikipedia Entity Vector Xu Xufei, Hiai Satoshi, Shimada Kazutaka (KIT) NLC2020-27 |
In recent years, the task of detecting sarcasm has been tackled in many studies. Sarcasm detection is important for unde... [more] |
NLC2020-27 pp.25-30 |
NLC, IPSJ-DC |
2018-09-06 10:35 |
Tokyo |
Seikei University |
Target Detection for Sarcasm Identification Satoshi Hiai, Kazutaka Shimada (Kyutech) NLC2018-10 |
Sarcasm identification has been treated as a task that classifies text as sarcastic or non-sarcastic. Sarcasm identifica... [more] |
NLC2018-10 pp.7-11 |
DE |
2016-06-18 13:10 |
Tokyo |
Rakuten Crimson House |
An Evaluation of Feature Term Extraction Method based on Polarity Analysis from Customer Reviews Tomofumi Yoshida, Daisuke Kitayama (Kogakuin Univ.) DE2016-5 |
Our paper proposes a method, based on content-based recommendation, for extracting feature terms that can express produc... [more] |
DE2016-5 pp.19-24 |
ASN |
2016-05-12 10:50 |
Tokyo |
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[Encouragement Talk]
A Novel Approach for Multi-Class Sentiment Analysis in Twitter Mondher Bouazizi, Tomoaki Ohtsuki (Keio Univ.) ASN2016-3 |
Many works were conducted on the automatic sentiment analysis and opinion mining. However, most of these works were orie... [more] |
ASN2016-3 pp.13-18 |
MICT, ASN, MoNA (Joint) |
2016-01-29 09:50 |
Kanagawa |
Hotel Okada |
Multi-Class Sentiment Analysis in Twitter: a Pattern-Based Approach Mondher Bouazizi, Tomoaki Ohtsuki (Keio Univ.) ASN2015-89 |
Many works were conducted on the automatic sentiment analysis and opinion mining. However, most of these works were orie... [more] |
ASN2015-89 pp.57-62 |
LOIS, IPSJ-CN, IPSJ-SPT |
2015-05-14 15:30 |
Tokyo |
Tsuda College, Kodaira Campus |
Opinion Target Extraction for TV Viewers' Spontaneous Messages based on Sentiment Terms in Past Tense Nanae Kinoshita (Recruit Staffing), Takeshi Kobayakawa, Atsushi Matsui (NHK) LOIS2015-2 |
In recent years, spontaneous messages at social networking service (SNS), e.g. Twitter, often reflect individual opinion... [more] |
LOIS2015-2 pp.29-34 |
NLC |
2013-09-12 15:00 |
Tokyo |
National Olympics Memorial Youth Center |
A proposal of a recommendation method of reviews describing characteristic minority opinions Hiroaki Shirahama, Masaomi Kimura (Shibaura Inst. of Tech.) NLC2013-19 |
Recently, many online shops offer their service with the product reviews. Those shops allow customers to comment or rate... [more] |
NLC2013-19 pp.27-32 |
LOIS |
2013-03-07 16:40 |
Okinawa |
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What Does the Chirping Tell Us? Summarizing People's Opinion on Ongoing Events Using Tweets Khan Muhammad Asif Hossain, Guangwen Liu, Masayuki Iwai, Kaoru Sezaki (Univ. of Tokyo) LOIS2012-87 |
The growth and increasing spatial resolution of Twitter has made it a promising network for assessing people’s opinion r... [more] |
LOIS2012-87 pp.107-112 |
PRMU, DE |
2005-06-17 16:30 |
Hokkaido |
Hokkaido Univ. |
Impression Mining from Text and Its Application to Web Retrieval Tadahiko Kumamoto (NICT), Katsumi Tanaka (NICT/Kyoto Univ.) |
We have been developing a novel Web-based question answering system that collects people's opinions about a user's quest... [more] |
DE2005-28 PRMU2005-49 pp.87-92 |
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